This is semantic segmentation but could be good starting point https://github.com/pytorch/android-demo-app/tree/master/ImageSegmentation

Don’t know that you’ll get much processing done (in a reasonable enough timeframe) on Android, but you can definitely create a client/server architecture where the processing is done remotely and the android phone just feeds the remote server data for processing and receives the output and displays it.

I've seen alot of post that says the only model that support instance segmentation for android is Mask R-CNN, never check on semantic but maybe there's a point there to take. btw thanks, will check em

I've done some project on plant leaf classification on android and surprisingly it works fine without straining even an old phone (using mobilenetv3) and I've also heard about computation problem before regarding deep learning especially on android quite frequent. But nice idea though could actually be an alternative for my problem. Will definetily look further on it.

That same page has an object detection demo, between the object detection and semantic segmentation examples there is probably enough info to figure out how to swap to instance seg

What a nice coincidence, I'm also looking on object detection for an alternative. Could found two answer then, nice.